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Intelligent Logistics Software Technology
Noah IoT platform, the logistics software platform, logistics process data analysis platform and the integrated IoT intelligent hardware communications system framework have enabled closed-loop optimization of logistics scenarios.

Core Tech

Technical features of the system software platform

The intelligent logistics software platform is compatible with mainstream IT architecture, is cross-platform, and supports easy docking

Technical features of the system software platform
  • Constructed using Java Platform (Enterprise Edition); it is a cross-operating system with high portability;
  • O/R Mapping+ big data storage and management engine technology
  • Supports a variety of databases including Oracle, MS SQL Server, and MySQL
  • Uses data caching technology such as Redis and Ehcache to enhance the system’s operating efficiency
  • Supports distributed architecture and high concurrency for easy horizontal expansion and high fault tolerance
  • Adopts front-end display technology such as HTML5 and CSS3 for a richer display interface
  • Adheres to TMN, ITU-T, SNMP, JMX, WMI, Telnet, SSH, and SQL management specifications to ensure compatibility with a wider range of devices
  • Support mainstream interfaces such as REST and WebService, and maintains smooth connectivity with third-party systems
  • Machine learning: building machine learning/deep learning capabilities based on TensorFlow;
  • Big data engine: big data architecture and distributed algorithm based on the Hadoop + Spark ecosystem;
Noah Internet of Things (IoT) platform

The IP IoT platform connects industrial IoT hardware and operations software, providing standard data interfaces in an integrated system.

Noah物联网平台技术特点
  • Flexible docking
  • No matter how complex the application scenario, the system is able to meet clients’ needs for collection and transmission of device data;
  • Visual data analysis
  • Visual analysis of data collected in real-time using charts and different configurations;
  • Fast integrated debugging
  • Platform-based device integration and debug configuration greatly improves integration and maintenance efficiency;
  • Device with predictive maintenance
  • The unique predictive maintenance capability means that it is possible to receive warnings on possible equipment failure in advance, so that devices can be repaired or replaced in a timely manner.
Logistics software platform

The modular logistics software platform allows for flexible deployment, and addition and subtraction of functional modules. The platform supports customization of business processes and intelligent IoT devices, in order to meet warehousing and logistics needs.

物流软件平台功能
  • Integrated business functions
  • Warehouse management + logistics picking and delivery, fulling covering clients’ warehousing and logistics needs
  • Definitions of operations processes
  • Simple user operation, with customizable logistics processes;
  • Intelligent IoT logistics hardware support
  • PTL+X intelligent picking and transparent self-sensing shelf technology, intelligent fault-prediction UHF RFID, UWB high-precision positioning, industrial-grade wireless MESH network.
Logistics processing data analysis platform

The platform is able to optimize strategies through AI big data analysis of different logistics scenarios, enabling better understanding of business operations and better deployment of logistics facilities to meet these operational needs.

物流过程数据分析平台
  • Job segment analysis
  • Real-time analysis of operators’ data in each logistics segment
  • Resource status analysis
  • Real-time analysis of utilization rates of logistics resources;
  • Resource conflict analysis
  • Real-time analysis of the compatibility of personnel, resources and job task requirements;
  • Predictive assisted decision-making
  • The system provides suggestions for optimization to assist management decision-making based on expected demand and the above analyses.
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